… The evolution of blockchain methodology has … on blockchain is crucial to manage the
existing challenges. Insights on these results elevates the value of emerging of Machine Learning …

… blockchain based secure data. Analytics on these data raises the importance of arisen technology
Machine Learning (… ) has been improved using deep Q-learning methodology [53] [54]. …

… Each Other: To give a broader perspective of blockchain and ML technologies in … of
blockchain for ML and the benefits of ML for blockchain, respectively. On one hand, blockchain can …

… We looked at existing machine learning models for FL in this work. For FL modeling, it was
… comprehensive overview of several machine learning (ML) methodologies that may be used …

… studies on blockchain adoption that guides a widely accepted machine learning algorithm
to … Then, we present our research model, hypotheses development, and methodology of our …

… , and machine learning to study the blockchain running processes and design the blockchain
… The main findings of this article will provide a survey from a methodological perspective to …

… of machine learning (ML) techniques to enhance the performance and optimization of smart
contracts in blockchain … of various machine learning methodologies, including reinforcement …

… techniques that represented the complicated world and determined the actual positive rate
of the standard control methodology used by the platform. The experimental result shows that …

… Blending machine learning and deep learning methodologies can aid scientists to design
drugs and vaccines speedier for much less expenses; another upcoming emphasis may …

… methodology are usage of machine learning techniques to handle various types of DDoS
attacks and Blockchain … alter the IP Addresses stored in Blockchain. This research work has …